Conceptual structure and thematic evolution in partial least squares structural equation modeling research
Bibliographic Data
| ID | 21377751 |
|---|---|
| Authors | Mario Angelelli (0000-0002-9782-7834, University of Salento, corresponding author), Enrico Ciavolino (0000-0003-3955-4310, University of Salento), Christian M Ringle (0000-0002-7027-8804, Universität Hamburg), Marko Sarstedt (0000-0002-5424-4268, Babeș-Bolyai University), Massimo Aria (0000-0002-8517-9411, University of Naples Federico II) |
| Year | 2025 |
| Volume | 59 |
| Issue | 3 |
| Pages | 2753-2798 |
| Publication date | 2025-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quality & Quantity (JOURNAL) |
| Journal identifiers | ISSN: 0033-5177 • E-ISSN: 1573-7845 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11135-025-02071-4 |
| OpenAlex | W4408181283 |
| Language | EN |
| Citations received | 1 |
| References cited | 180 |
Structural equation modeling (SEM) using partial least squares (PLS) has received considerable attention in recent years. We address the increasing fragmentation of PLS-SEM-related research across multiple fields of scientific inquiry by presenting a bibliometric analysis’s results of n = 9,150 documents from the Web of Science database. We identify the main themes by using bibliometric content analysis to explore the PLS-SEM knowledge structure’s definition, its main drivers, and the interplay between the methodology and the application themes over time. Furthermore, we document the dynamics of the PLS-SEM knowledge structure over four periods spanning 1995–2022, unveiling a surge in scientific production and connections among thematic areas due to topic evolution and hybridization. Finally, we investigate the driving forces behind these trends and the relationship between methodology and application themes, providing an integrative view and insights into PLS-SEM research across disciplines
Conceptual model · Econometrics · Geography · Partial least squares regression · Statistics · Structural equation modeling · Thematic map · Computer Science · Digital Marketing and Social Media · Mathematics · Technology Adoption and User Behaviour
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |